User Satisfaction Analysis of the LEAD.CO.ID News Portal Performance Using WebQual 4.0

Abstract

The quality of online media platforms is critical for competitiveness in the digital media industry. This study evaluates the quality of LEAD.CO.ID news portal using WebQual 4.0 method with a quantitative approach. Data were obtained from 100 participants using an online survey and subsequently processed with SPSS software employing multiple linear regression analysis. The t-test results show all three variables affect user satisfaction significantly, with usability as the dominant factor (β = 0.512, p < 0.001). The F-test confirms simultaneous significant influence (F = 23.215, p < 0.001). An R² coefficient of 0.420 demonstrates that 42% of the variance in user satisfaction is attributable to the factors incorporated in the proposed model, during 58% is influenced by other factors such as access speed, branding, and exclusive content. Overall, LEAD.CO.ID’s website quality is in the “good” category. However, to increase reader engagement and competitive advantage, managers should implement layered source verification to improve information credibility, and  optimize mobile loading time below 3 seconds to strengthen usability. This study contributes to WebQual 4.0 application in local digital media and provides data-driven recommendations for improving reader loyalty.